基于三角白化权灰聚类的煤矿基建投资风险评价  

Evaluation of Investment Risk in Coal Mine Infrastructure Based on Triangular Whitenization Weight Function Grey Clustering

作　　者：单仁亮[1] 赵鑫[1] 吴树景[1] 黄飞[1] 

机构地区：[1]中国矿业大学(北京)力学与建筑工程学院,北京100083

出　　处：《煤炭技术》2015年第1期352-355,共4页Coal Technology

基　　金：教育部博士点专项基金(20120023110009);中央高校基本科研业务费专项基金资助项目(2010YL09)

摘　　要：鉴于矿山建设工程风险信息部分不明确的灰色特征,运用灰色理论和多元统计学,将工程投资风险与其影响因素间的关系视为灰色系统,建立同忻煤矿基本建设投资风险的端点三角白化权灰色聚类评估模型。研究结果说明,煤矿基建风险因素可以分为六大类;计算出了31项指标对基建风险以权重表示的影响程度;灰色聚类结果表明同忻矿基建风险属于"低风险"灰类,但经济性风险应是集团公司重点关注和管理的对象。In view of the characteristics of grey that some information is undefined in mining construction project risk,based on grey theory and multi-statistic theory,regarded the relationship between project investment risk and its influencing factors as a grey system,and established an endpoint triangular whitenization weight grey clustering assessment model for Tongxin mine infrastructure investment risk. The The main conclusions are as follows: coal mine construction risk factors can be divided into 6 categories; calculated the affect of 31 factors on infrastructure risk in the form of weights; the result of grey clustering show Tongxin mine infrastructure risk was in the low risk grey class,while the economic risk should be the crucial management object for general corporation.

关 键 词：基本建设 风险 灰色聚类 因子分析法 

分 类 号：TD22[矿业工程—矿井建设]